Clinical Severity and Outcomes in Large Infarcts With Endovascular Therapy: A Post Hoc Analysis of the ANGEL-ASPECT Trial
Bibliographic record
Abstract
BACKGROUND: Endovascular therapy (EVT) has been proven effective for patients with acute ischemic stroke with large infarcts. This study aimed to explore the impact of clinical severity on the efficacy of EVT in such patients. METHODS: This was a post hoc analysis of the ANGEL-ASPECT trial (Endovascular Therapy in Acute Anterior Circulation Large Vessel Occlusive Patients With a Large Infarct Core), a randomized controlled trial that enrolled patients from 46 centers across China between October 2, 2020, and May 18, 2022. These patients had large infarcts (defined as Alberta Stroke Program Early CT Score of 3–5 or infarct-core volume 70–100 mL) due to anterior-circulation large vessel occlusion within 24 hours after stroke onset with a National Institutes of Health Stroke Scale score of 6 to 30. Patients were randomized into either the EVT group or the medical management alone (MM) group. For this analysis, we categorized the patients into 2 subgroups: moderate stroke and severe stroke, based on a baseline National Institutes of Health Stroke Scale score of either <20 or ≥20. The primary outcome was the ordinal 90-day modified Rankin Scale score (0, no symptoms, to 6, death). RESULTS: Among 455 eligible patients, 347 (76.3%) presented with moderate stroke (170 received EVT, 177 underwent MM), and 108 (23.7%) had severe stroke (60 received EVT, 48 underwent MM). A significant shift toward better outcomes in the 90-day modified Rankin Scale distribution was observed in the EVT group compared with the MM group (generalized odds ratio, 1.66 [95% CI, 1.29–2.13]; P <0.001) among patients with moderate stroke. However, this was not the case for those with severe stroke (generalized odds ratio, 1.06 [95% CI, 0.54–2.10]; P =0.87), indicating a significant interaction ( P =0.03). CONCLUSIONS: In patients with acute large infarcts, EVT was associated with improved functional outcomes compared with MM in patients with moderate stroke. However, no significant difference was observed in patients with severe stroke. Therefore, stroke severity should be considered when selecting patients with large infarcts for EVT. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04551664.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".